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The influence of current mood states on screening accuracy of the Mood Disorder Questionnaire

  • Hee Ryung Wang
  • , Won Myong Bahk
  • , Bo Hyun Yoon
  • , Moon Doo Kim
  • , Young Eun Jung
  • , Kyung Joon Min
  • , Jeongwan Hong
  • , Young Sup Woo
  • The Catholic University of Korea
  • Naju National Hospital
  • Jeju National University
  • Chung-Ang University
  • Iksan Hospital

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Objective: In this study we investigated whether current mood states of patients with bipolar disorder have an influence on the screening accuracy of the Mood Disorder Questionnaire (MDQ). Methods: A total of 452 patients with mood disorder (including 192 with major depressive disorder and 260 with bipolar disorder completed the Korean version of the MDQ. Patients with bipolar disorder were subdivided into three groups (bipolar depressed only, bipolar euthymic only, bipolar manic/hypomanic only) according to current mood states. The screening accuracy of the MDQ including sensitivity, specificity and area under the curve (AUC) of receiver operating characteristic (ROC) curves were evaluated according to current mood states. Results: The optimal cutoff of MDQ was 5 in this study sample. Sensitivity and specificity were not significantly different according to current mood states. Significant differences in AUCs of four independent ROC curves were not found (ROC 1st curve included all bipolar patients; ROC 2nd curve included only bipolar depressed patients; ROC 3rd curve included only bipolar manic/hypomanic patients; ROC 4th curve included only bipolar euthymic patients). Conclusion: The study results showed that current mood states (either euthymic state, depressed or manic/hypomanic) did not significantly influence the screening accuracy of the MDQ suggesting that the MDQ could be a useful screening instrument for detecting bipolar disorder in clinical practice regardless of the current mood symptoms of subjects.

Original languageEnglish
Pages (from-to)25-31
Number of pages7
JournalClinical Psychopharmacology and Neuroscience
Volume18
Issue number1
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
Copyright © 2020, Korean College of Neuropsychopharmacology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Area under the curve
  • Current mood states
  • Mood Disorder Questionnaire
  • Sensitivity
  • Specificity

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